Literature DB >> 24724938

Improving industrial yeast strains: exploiting natural and artificial diversity.

Jan Steensels1, Tim Snoek, Esther Meersman, Martina Picca Nicolino, Karin Voordeckers, Kevin J Verstrepen.   

Abstract

Yeasts have been used for thousands of years to make fermented foods and beverages, such as beer, wine, sake, and bread. However, the choice for a particular yeast strain or species for a specific industrial application is often based on historical, rather than scientific grounds. Moreover, new biotechnological yeast applications, such as the production of second-generation biofuels, confront yeast with environments and challenges that differ from those encountered in traditional food fermentations. Together, this implies that there are interesting opportunities to isolate or generate yeast variants that perform better than the currently used strains. Here, we discuss the different strategies of strain selection and improvement available for both conventional and nonconventional yeasts. Exploiting the existing natural diversity and using techniques such as mutagenesis, protoplast fusion, breeding, genome shuffling and directed evolution to generate artificial diversity, or the use of genetic modification strategies to alter traits in a more targeted way, have led to the selection of superior industrial yeasts. Furthermore, recent technological advances allowed the development of high-throughput techniques, such as 'global transcription machinery engineering' (gTME), to induce genetic variation, providing a new source of yeast genetic diversity.
© 2014 The Authors. FEMS Microbiology Reviews published by John Wiley & Sons Ltd on behalf of Federation of European Microbiological Societies.

Entities:  

Keywords:  GMO; Saccharomyces cerevisiae; evolutionary engineering; genetic engineering; metabolic engineering; non-Saccharomyces

Mesh:

Year:  2014        PMID: 24724938      PMCID: PMC4293462          DOI: 10.1111/1574-6976.12073

Source DB:  PubMed          Journal:  FEMS Microbiol Rev        ISSN: 0168-6445            Impact factor:   16.408


  357 in total

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